Summary
Xiang Zhou is an Associate Professor at City University of Hong Kong with nine years of faculty experience and a strong background in applied and computational mathematics (PhD Princeton, MMath Peking). He leads research on rare-event analysis melding applied/computational math, statistical physics and simulation, and increasingly integrates machine learning into mathematical and learning-algorithm frameworks. With joint appointments in the School of Data Science and Department of Mathematics, he bridges theoretical development and data-driven computation for complex stochastic systems. His trajectory includes a Princeton postdoc and sustained efforts to recruit and mentor graduate students and collaborators in computational stochastic analysis. An understated strength is his focus on practical infusion of ML into classical applied-math problems, turning deep theory into computational tools for rare-event and learning challenges.
9 years of coding experience
Master, Applied and Computational Math, Master, Applied and Computational Math at Peking University
PhD, Applied Math, PhD, Applied Math at Princeton University